COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach

Assessing the environmental sustainability gap in G20 economies: The roles of economic growth, energy mix, foreign direct investment, and population

There is serious debate among researchers regarding the sustainability implications of economic prosperity and energy dependence. Energy consumption has a critical linkage with economic growth, but it also degrades environmental quality. Therefore, it is important to investigate the relationship between economic growth, the energy mix, and environmental sustainability. However, empirical literature utilizes narrow variables to capture environmental sustainability. Because of this, this research introduces a new environmental sustainability variable using entropy weighting and combining deforestation, household carbon emissions, and life expectancy. This study examines the relationship between environmental sustainability, economic growth, and other selected variables using data from 2002 to 2019 for the G20 and its high-, upper-, and low-middle-income member countries. Since shocks in one G20 country can affect another, this study uses the Augmented Mean Group (AMG) technique for empirical analysis. The results of this study indicate that Gross Domestic Product (EG) and its square term did not support the Environmental Kuznets Curve (EKC) theory. The energy mix has a positive impact on the environmental sustainability gap across all the samples except for the upper-middle-income group. Foreign direct investment positively affects this gap, while population growth has no significant impact. These findings demonstrate that policymakers should support environmentally friendly and clean energy sources to foster long-term economic growth and sustainability.

Navigating the nexus: Geopolitical risk, fossil energy prices, and European utility stock returns - Implications for environmental management and energy security in a conflict-ridden global landscape

This study employs a TPV-VAR analysis method to explore the linkage between GPR, fossil energy prices, and utility stock returns across 16 European countries from August 2009 to April 2023. Our findings reveal variations over time in how GPR influences the prices of fossil energy and utility stock returns. GPR significantly influences stock returns in the short term (1 month), with prolonged effects observed during major geopolitical incidents, while showing no significance in the medium (6 months) and long term (12 months). Further, the Russia-Ukraine War had a more pronounced impact on fossil energy prices and utility stock returns compared with the Arab Spring and Brexit. Finally, GPR shocks exhibit heterogeneous effects on different fossil energy types, with oil prices being more affected than coal and gas prices. Energy prices act as a channel through which GPR influences utility stock returns. This study elucidates the linkage between GPR, prices of fossil energy, and stock returns, offering valuable perspectives for governments and investment decision-makers into risk management.

Analyzing the varied impact of COVID-19 on stock markets: A comparative study of low- and high-infection-rate countries

The global health crisis initiated by the COVID-19 pandemic triggered unparalleled economic upheavals. In this comprehensive study of 16 countries categorized by their infection rates, we scrutinize the impact of a range of variables on stock market indices and calculate four critical ratios derived from those variables. Our regression analyses reveal striking differences in how the variables influenced stock indices in countries with low and high infection rates. Notably, in countries with low infection rates, all variables exhibited significant effects on stock returns. An increase in infection numbers and fatalities correlated with greater stock market declines, underscoring the market's sensitivity to the health and economic risks posed by the pandemic. Recovery and testing rates also displayed positive associations with stock returns, reflecting investor optimism concerning potential recovery scenarios. Conversely, nations grappling with high infection rates experienced notably weaker effects from these variables. Although fatalities had a negative impact on stock indices, other factors, including recoveries, infections, and testing rates, did not result in significant effects. This suggests the likelihood that markets in high-infection countries had likely factored pandemic conditions into their pricing, thereby reducing the immediate impact of these metrics on stock returns. Our findings underscore the intricacies of the COVID-19 pandemic's impact on stock markets and highlight the importance of tailored strategies and policies for distinct country categories. This study offers valuable insights for policymakers and investors navigating financial markets during global health crises and preparing for future epidemics.

Geopolitical risk, economic policy uncertainty, and dynamic connectedness between clean energy, conventional energy, and food markets

The global financial markets suffered unprecedented shocks, leading to significantly increased uncertainty in the markets due to various economic and financial recessions and geopolitical tensions, resulting in substantial fluctuations in market prices. Therefore, this paper aims to identify the response of the clean energy, conventional energy, and food markets to economic uncertainty and political tension while considering the influence of numerous crises and political conflicts. To achieve this, we employ the DCC-GARCH-based connectedness approach and the quantile-on-quantile model on monthly data spanning from May 2008 to June 2023. The results provide evidence of the sensitivity of dynamic volatility spillovers between financial assets to GEPU and GPR during major economic and financial crises and geopolitical events. Notably, this sensitivity increases significantly during the global financial crisis (GFC), the European debt crisis, Brexit, the US presidential election, the COVID-19 pandemic, and the Russian-Ukrainian war. However, the investigation of the tail dependence structure reveals that the relationship between uncertainties and total volatility connectedness across various market conditions appears to be asymmetric and heterogeneous. Our findings assist policymakers and green investors in designing the most effective policies to mitigate the impact of uncertainties on both conventional and green investments. This is achieved through insightful knowledge about the primary drivers of contagion among these indices, all while not compromising sustainability goals.

Navigating the interconnected risks in currency valuation: unveiling the role of climate policy uncertainty

Given the significance of fostering sustainable climate conditions for long-term economic stability and financial resilience, this study probes the connection between climate-related policy ambiguity and its implications for currency valuation. In doing so, the current study investigates the interconnected effects of climate policy on economic policy uncertainty and geopolitical risk with the currency valuation in ASEAN countries. Employing wavelet coherence analysis and partial wavelet coherence analysis, the paper highlights the complex relationships among these factors and their implications for exchange rate fluctuations. Using data from 2000 to 2022, the findings reveal that climate policy uncertainty is an important driver of exchange rate movements, amplifying the impact of economic policy uncertainty and geopolitical risk. Furthermore, the study identifies a vicious cycle between climate policy uncertainty and exchange rates, potentially impacting the region's macroeconomic stability and long-term economic growth. The study presents several policy recommendations to address economic and climate policy uncertainties comprehensively based on the findings. These recommendations include establishing national frameworks for climate risk management, enhancing policy credibility and macroeconomic stability, and promoting regional integration to mitigate the influence of geopolitical risk on exchange rates.

Are clean energy markets efficient? A multifractal scaling and herding behavior analysis of clean and renewable energy markets before and during the COVID19 pandemic

The literature lacks thorough and adequate evidence of the efficiency and herding behavior of clean and renewable energy markets. Therefore, the key objective of this paper is to explore the multifractality and efficiency of six clean energy markets by applying a robust method of Multifractal detrended fluctuation analysis (MFDFA) on daily data over a lengthy period. In addition, to examine the inner dynamics of clean energy markets around the global pandemic (COVID19), the data are further divided into two sub-periods of before and during COVID19. Our sampled clean energy markets exhibit multifractal behavior with a significant impact on the efficiency and intensified presence of multifractality during the COVID19 period. Overall, TXCT and BSEGRNX were the most efficient clean energy markets, but the ranking of TXCT deteriorated significantly in the sub-periods. The presence of multifractality and herding behavior symmetry intensified during the crisis period, which gives a potential for advancing portfolio management techniques. Moreover, our study provides practical implications and new insights for various market participants for better management and understanding of risks.

Does geopolitical risk matter in carbon and crude oil markets from a multi-timescale perspective?

The ongoing Russia-Ukraine conflict serves as a prime illustration of geopolitical risk, manifesting implications beyond global energy price surges and regional energy deficits; it also resonates within the carbon trading market. This study delves into the non-linear and asymmetric impacts of geopolitical risk on oil-carbon linkages spanning 2013 to 2022. Commencing with an exploration of dynamic correlations within the carbon and crude oil markets, our findings indicate that market movements in carbon or crude oil are subject not only to their respective historical volatility trends but also to reciprocal influences from the alternate market, highlighting the existence of asymmetric spillovers between the carbon and crude oil markets. Subsequently, a threshold vector error correction model (TVECM) sheds light on the long-term transmission dynamics of geopolitical risk to oil-carbon linkages. It is concluded that the oil-carbon linkages have a limited impact on geopolitical risk and are subject to shocks from geopolitical risk. Finally, the maximum overlap discrete wavelet transform (MODWT) method unveils heterogeneity across temporal scales: in the short term, geopolitical risk fluctuations are influenced by oil-carbon linkages, and in the middle and long run it becomes independent. Such insights furnish investors with an enriched comprehension of the interplay between crude oil and carbon markets amid geopolitical disturbances, while also offering policymakers a foundation upon which to sculpt informed responses to geopolitical risk.

Pandemics uncertainty and informational globalization in CEE countries: The role of innovation diffusion

The Covid-19 pandemic has dramatically changed how information is shared and processed worldwide. The COVID-19 pandemic has profoundly affected the globalization of information, causing shifts in communication, information dissemination, and technology. This paper investigates the impact of pandemics-related uncertainty on the index of de facto informational globalization (the measure based on high-technology exports, international patents, and used internet bandwidth). The paper uses the panel dataset of 18 Central and Eastern European (CEE) countries from 1990 to 2020. The results indicate that pandemics-related uncertainty negatively affects the informational globalization level in the CEE economies. The findings are robust in utilizing different estimation techniques and considering NATO member CEE countries.

Assessing the impact of blockchain technology on the overall performance of sustainable supply chains: an analytical perspective

Supply chain control and sustainability can be significantly improved using distributed ledger technologies such as blockchain. The blockchain has the potential to facilitate responsible sourcing appropriately, compliance with weather requirements, and sustainable delivery chains. The purpose of this study is to address the hassle of managing conservatism when approaching era adoption and to explore the performance enhancements in blockchain-generated implementations. To achieve this goal, we introduce a scientific approach aimed at studying the outcomes of various factors in the adoption process in the blockchain era and verifying their impact on the overall performance of the delivery chain. Furthermore, a team of multidisciplinary professionals will establish causal relationships among these elements through a consensus-based approach. Ultimately, fuzzy reasoning tools can be used to determine the relative weights between identified factors and delivery chain performance goals. We will assemble causal representations of diagnoses using a dense scientific map model and dynamically generate scenarios for each. The study demonstrates that the integration of blockchain power generation can significantly improve the effectiveness of mineral supply chains. It uses smart contracts to promote environmental sustainability, traceability, and transparency.

Circular value creation: business models and supply chain strategies

This paper aims to advance research on the circular economy, sustainable innovation through adopting a circular business model (CBM), and circular supply chain management (CSCM). The circular economy is gradually acknowledged as promising to attain ecological growth by minimising resource input, waste, emissions and energy loss. This article investigates the environmental efficacy of circular value creation and its implications for business models and supply chain strategies. It intends to incorporate CBM and CSCM for sustainable innovation and ecological growth, relying on a review of the literature and four case analyses. The context identifies five distinct CBM propelling supply chain strategies and sustainable innovation, supply chain loops, which differ in intricacy and worth. The study demonstrates that circular business models (CBM) and circular CSCM models can facilitate organisations in accomplishing ecological objectives. The companies examined in the study have different characteristics, but all face comparable challenges in persuading consumers and suppliers to adopt circular business models and supply chain management. A significant challenge is that customers perceive products made from recycled or remanufactured materials as inferior to traditional products, leading to lower prices despite meeting comparable quality standards. Therefore, we review the current literature on the business model background to technological, organisational and social innovation. Since the existing literature does not provide a general conceptual definition of sustainable innovation and circular business mode for circular supply chain management, we present normative examples of requirements that circular business models should meet to support sustainable innovation. Finally, we outline the research agenda by asking some guiding questions.

Fat tails, serial dependence, and interlinkages of the geopolitical risk and food market during the COVID-19 pandemic and war crisis: an application of Bayesian vector heterogeneous autoregressions

We investigate fat tails and network interconnections of geopolitical risk index and food prices, including the price of corn, rice, and wheat, using seven Bayesian vector heterogeneous autoregression fashions. This paper differentiates dynamically between network interlinkages between these variables during the short, medium, and long runs. We found some noteworthy results in our study. In the first place, network interlinkages exhibit remarkable differences over time. Interlinkages between variables in our designed networks are increased in the short, medium, and long term due to transient events occurring in markets during the studied period. During the Russia-Ukraine conflict, the long-term ties within the system are more significantly impacted. Additionally, based on net-directional linkages, each market's role shifts (from sending to receiving shock and vice versa) during the pre- and post-Ukraine-Russia conflict, whereas these roles persist during the COVID-19 pandemic. Observations of short- and medium-term trends reveal that the geopolitical risk index is shock receivers transmitted to these markets by the rice and corn markets. The results indicate that the geopolitical risk index persists as shock receivers in terms of long-horizon measures.

Green finance, renewable energy investments, natural resources, and sustainable economic advancements in China: evidence from pre-post COVID-pandemic

Since the start of twenty-first century, the globe has bumped into several crises, such as the sudden rise of oil prices in 2003 and the large-scale global financial crisis in 2007-2008. However, the most recent COVID-19 outbreak has slowed fiscal progress and initiated instability in the prices of commodities-based natural resources. The instability of prices of natural resources attracted the focus of academicians and policymakers. Moreover, the recent pandemic also pushed up the need of green finance and renewable energy investment for renewable energy development. The current study, thus, explores sustainable economic advancements via natural resource rents, green financing, renewable electricity energy, and investment in renewable energy projects in China over the period of 2000 to 2023 including years of pre-post COVID-pandemic. The current paper used CCR (canonical cointegrating regression), DOLS (dynamic ordinary least squares), and FMOLS (fully modified ordinary least squares), for its empirical investigation. The results demonstrate the cointegration of first-differenced stationary variables in the longer run. The parameter of natural resource rents shows that the volatility of natural resource prices adversely influences the sustainable economic advancement of China. Findings also demonstrate that green finance strategy can simultaneously control the high-emission situation and increase economic development of country. Additionally, the findings reveal the positive effects of renewable electricity energy output, and investment in renewable energy projects for sustainable economic advancements.

Unveiling the impact of Belt and Road Initiative on green innovation: empirical evidence from Chinese manufacturing enterprises

Building a green silk road is an important practice in implementing the UN 2030 sustainable development goals. However, several countries taking part in the Belt and Road Initiative (BRI) feature challenging geographic circumstances and delicate ecological environments, which give rise to significant ecological and environmental protection challenges. Considering that green innovation is closely related to sustainable development, this study uses the BRI as a quasi-natural experiment and incorporates data from Chinese A-share listed manufacturing firms from 2008 to 2019 to assess the effect of investments in BRI countries on green innovation. The empirical findings show that the BRI significantly increases the green innovation of enterprises that are involved in foreign investments by alleviating financing constraints. This is accomplished through measures such as government subsidy incentives and overseas income spillover, as well as by enhancing productivity through optimized resource allocation and reverse technology spillover. Notably, the green innovation effect of the BRI is particularly significant in driving green innovation among enterprises with low pollution levels and those in technology-intensive industries. Furthermore, investment in BRI countries in closer proximity to China's institutional framework and with lower levels of economic development can take advantage of a similar innovation environment and gradient industrial transfer advantages, respectively, thus contributing to the improvement of advanced green innovation. Overall, this analysis sheds light on the beneficial effects of BRI investments on green innovation and offers strong empirical support and insightful policy recommendations for China's pursuit of a green Belt and Road.

Does personal experience with COVID-19 impact investment decisions? Evidence from a survey of US retail investors

This paper explores the link between personal experience with COVID-19 and US retail investors' financial decision-making during the first COVID-19 wave. Do retail investors that have personally experienced COVID-19 change their investments after the pandemic outbreak, and if so, why? We use a cross-sectional dataset from an online survey of US retail investors collected in July and August 2020 to assess if and how respondents change their investment decisions after the COVID-19 outbreak. On average retail investors increase their investments during the first wave of COVID-19 by 4.7%, while many of them decrease their investments suggesting a high heterogeneity of investor behaviours. We provide the first evidence that personal experience with the virus can have unexpected positive effects on retail investments. Investors who have personal experience with COVID-19, who are in a vulnerable health category, who tested positive, and who know someone in their close circle of friends or family who died because of COVID-19, increase their investments by 12%. We explain our findings through terror management theory, salience theory and optimism bias, suggesting that reminders of mortality, focussing on selective salient investment information, and over-optimism despite personal vulnerable health contribute to the increase in retail investments. Increased levels of savings, saving goals and risk capacity are also positively associated with increased investments. Our findings are relevant to investors, regulators, and financial advisors, and highlight the importance of providing retail investors with access to investment opportunities in periods of unprecedented shocks such as COVID-19.

COVID-induced sentiment and the intraday volatility spillovers between energy and other ETFs

Did Covid19 induce market turmoil impact the intraday volatility spillovers between energy and other ETFs?. To examine this, we first estimate the realized volatility of ETFs using the 5-min high-frequency data. Next, we employ time-varying parameter vector autoregressions (TVP-VAR). Finally, we utilize the wavelet coherence measure to test the time-frequency impact of COVID-induced sentiment on the spillovers by employing investors' psychological and behavioural factors. We find that oil and stock markets are net transmitters while currency, bonds, and silver markets are net receivers. The wavelet analysis embarked significant impact of media coverage and fake news index towards shaping investors' pessimism for their investments. We proposed useful implications for policymakers, governments, investors, and portfolio managers.

Measuring economic crises impact transitioning to a circular economy

Increasing global concern about climate change and the circular economy have successfully established itselves in international and national policies over the last decade, with the aim of reshaping the production and consumer behavior. The circular economy is one of the core pillars of European Union policy and its success depends on the energy efficiency, reducing production costs, and maintaining employment levels by ensuring continuous strong economic independency of the region. While crises are unavoidable and continue to appear, this paper aims to project the impact of any crisis on sustainability transitions using data analysis of the Global Financial crisis from 2008 to 2009 and discuss how the success of the circular economy implementation and environmental policies could be affected. The paper notes that the global financial crisis of 2008-2009 had a short-term positive impact on environmental degradation and that economic interests overshadowed environmental goals. Due to the recent events of the ongoing Russia and Ukraine war, COVID-19 societal and industrial behavior has shifted from sustainable to linear and has taken a step backward in reducing environmental pollution and achieving Sustainable Development Goals. Analysis of already present data and the context of the 2008-2009 global financial crisis, reviewing of COVID-19 impact on the global economy, health sector, and environmental policies allows us to predict the consequences, as it relates to the future of circular economy policy.

Supplementary information

The online version contains supplementary material available at (10.1007/s10668-023-03367-x).

An impact assessment of the COVID-19 pandemic on Japanese and US hotel stocks

This study proposes two new regime-switching volatility models to empirically analyze the impact of the COVID-19 pandemic on hotel stock prices in Japan compared with the US, taking into account the role of stock markets. The first model is a direct impact model of COVID-19 on hotel stock prices; the analysis finds that infection speed negatively affects Japanese hotel stock prices and shows that the regime continues to switch to high volatility in prices due to COVID-19 until September 2021, unlike US stock prices. The second model is a hybrid model with COVID-19 and stock market impacts on the hotel stock prices, which can remove the market impacts on regime-switching volatility; this analysis demonstrates that COVID-19 negatively affects hotel stock prices regardless of whether they are in Japan or the US. We also observe a transition to a high-volatility regime in hotel stock prices due to COVID-19 until around summer 2021 in both Japan and the US. These results suggest that COVID-19 is likely to affect hotel stock prices in general, except for the influence of the stock market. Considering the market influence, COVID-19 directly and/or indirectly affects Japanese hotel stocks through the Japanese stock market, and US hotel stocks have limited impacts from COVID-19 owing to the offset between the influence on hotel stocks and no effect on the stock market. Based on the results, investors and portfolio managers should be aware that the impact of COVID-19 on hotel stock returns depends on the balance between the direct and indirect effects, and varies from country to country and region to region.

The impact of COVID-19 on economy, air pollution and income: evidence from China

The global pandemic caused by the outbreak of COVID-19 has posed significant risks to our health. Preventive measures such as closed management have greatly affected the economies, environments and societies of various countries. Economy, air pollution and income are three important interconnected aspects of sustainable development. However, current research lacks systematic quantitative analysis of their relationships. To fill the gap, this study adopts monthly data from January 2016 to April 2022 and constructs both a Simultaneous Equation Model (SEM) and a Time Varying Parameter Stochastic Volatility Vector Autoregressive (TVP-SV-VAR) model to empirically analyze the impact of COVID-19 on China's economy, air pollution and income. This study finds that the COVID-19 has a negative impact on China's economy and income, and a positive impact on air pollution, and the impact of the COVID-19 is systematic. In addition, there is an inverted-U shaped relationship between air pollution and economics, and a positive correlation between economic and income. The impact of COVID-19 on the economy, air pollution and income show a process of sharp fluctuations to gradual stabilization that gradually stabilized over time. This process is time-varying in the short-term, medium-term and long-term. The impacts are persistent at three different time points (before, during and after the outbreak of COVID-19), but the negative impact on the economy and income is persistent, while the positive impact on air pollution is limited. This study provides a more systematic and dynamic understanding of the COVID-19 preventive and mitigation measures in China and even the world, which helps to provide insights into the formulation of more comprehensive planning strategies in the future.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00477-023-02450-z.

An application of Bayesian vector heterogeneous autoregressions to study network interlinkages of the crude oil and gold, stock, and cryptocurrency markets during the COVID-19 outbreak

We investigate fat tails and network interconnections of crude oil, gold, stock, and cryptocurrency using seven Bayesian vector heterogeneous autoregression fashions. In this paper, we incorporate parameter uncertainty by using Bayesian VAR models for estimation. To make rational investment decisions, we decompose a network of financial assets and commodity prices into various time horizons to obtain essential insight and knowledge. During the short, medium, and long run, this paper differentiates dynamically between network interlinkages between these markets. We found some noteworthy results in our study. In the first place, network interlinkages exhibit remarkable differences over time. Interlinkages between networks are increased in the short term, medium term, and long term due to transient events occurring in markets during the study period. As a result of the ongoing COVID-19 epidemic, the long-term ties within the system are significantly impacted. Additionally, based on net directional linkages, each market's role shifts (from sending to receiving shock and vice versa) before the pre-COVID-19 pandemic course, whereas they remain persistent during COVID-19. Observations of short- and medium-term trends reveal that three markets, namely, crude oil, gold, and stock, receive shocks, which are transmitted to these markets by the cryptocurrency market. In terms of long-horizon measures, the results indicate that the gold and cryptocurrency markets persist as shock transmitters. Our findings are critical since policymakers can also design appropriate policies to reduce the vulnerabilities of such markets and prevent risk spread and instability.

The impact of containment measures and monetary and fiscal responses on US financial markets during the COVID-19 pandemic

This paper analyses the effects of containment measures and monetary and fiscal responses on US financial markets during the Covid-19 pandemic. More specifically, it applies fractional integration methods to analyse their impact on the daily S&P500, the US Treasury Bond Index (USTB), the S&P Green Bond Index (GREEN) and the Dow Jones (DJ) Islamic World Market Index (ISLAM) over the period 1/01/2020-10/03/2021. The results suggest that all four indices are highly persistent and exhibit orders of integration close to 1. A small degree of mean reversion is observed only for the S&P500 under the assumption of white noise errors and USTB with autocorrelated errors; therefore, market efficiency appears to hold in most cases. The mortality rate, surprisingly, seems to have affected stock and bond prices positively with autocorrelated errors. As for the policy responses, both the containment and fiscal measures had a rather limited impact, whilst there were significant announcement effects which lifted markets, especially in the case of monetary announcements. There is also evidence of a significant, positive response to changes in the effective Federal funds rate, which suggests that the financial industry, mainly benefiting from interest rises, plays a dominant role.

Heterogeneously informed trading and the stock market efficiency during the COVID-19 pandemic

This study investigates the U.S. stock market efficiency from the symmetric and asymmetric perspectives during the COVID-19 pandemic. We explore that the pandemic boosts (hurts) the information role of symmetrically (asymmetrically) informed trading. Specifically, we find that the epidemic outbreak and infection scale strengthen (weaken) the stock return reaction to symmetrically (asymmetrically) informed trading. Evidence also indicates that the effect of symmetrically (asymmetrically) informed trading on stocks' permanent price shocks and price informational efficiency is enhanced (impaired) during the pandemic. Moreover, all these effects are consistently more intensive to informed buys.

Bibliometric Analysis of Granger Causality Studies

Granger causality provides a framework that uses predictability to identify causation between time series variables. This is important to policymakers for effective policy management and recommendations. Granger causality is recognized as the primary advance on the causation problem. The objective of this paper is to conduct a bibliometric analysis of Granger causality publications indexed in the Web of Science database. Harzing's Publish or Perish and VOSviewer were used for performance analysis and science mapping. The first paper indexed was published in 1981 and there has been an upward trend in the annual publication of Granger causality studies which are shifting towards the areas of environmental science, energy, and economics. Most of the publications are articles and proceeding papers under the areas of business economics, environmental science ecology, and neurosciences/neurology. China has the highest number of publications while the United States has the highest number of citations. England has the highest citation impact. This paper also constructed country co-authorship, co-analysis of cited references, cited sources, and cited authors, keyword co-occurrence, and keyword overlay visualization maps.

Stock market responses to COVID-19: The behaviors of mean reversion, dependence and persistence☆

We examine stock market responses during the COVID-19 pandemic period using fractional integration techniques. The evidence suggests that stock markets generally follow a synchronized movement before and the stages of the pandemic shocks. We find while mean reversion significantly declines, the degree of persistence and dependence has been increased in the majority of the stock market indices in whole sample analysis covering the period of August 02, 2019 and July 09, 2020. This outcome implies increasing integration and possibly declining benefits of diversification for the global stock portfolio management.

Does US full vaccination against COVID-19 immunize correspondingly S&P500 index: Evidence from the NARDL approach

This study analyzes the impact of COVID-19 full vaccination shocks on the US stock market in the period January 14, 2021- August 20, 2021. Using the Nonlinear Autoregressive Distributed Lag model, we find that the positive and negative COVID-19 full vaccination growth shocks have a positive and symmetrical impact on the US stock market over the long run. Additionally, the short-run findings provide that the US stock market reacts negatively with delay to the positive and negative COVID-19 full vaccination growth shocks. The study findings provide good insights that COVID-19 full vaccination immunizes accordingly to the S&P 500 index in the long run. The study results indicate that the impact of positive and negative COVID-19 full vaccination growth shocks on the stock market in the short run differs from that in the long run. This research bears important implications: governments should implement preventive measures with vaccination to recover the stock market. Policy makers ought to urge adopting policy measures to reduce panic and boost investor confidence during economic and health crises.

Linking environmental corporate social responsibility to firm performance: The role of partnership restructure

In this study, we integrate the signal institutional theory and stakeholder theory to examine partnership restructure as a critical mechanism linking environmental corporate social responsibility (ECSR) to corporate financial performance. Keeping in line with most prior studies, we first argue that a positive relationship exists between ECSR and firm performance. Then we propose that partnership restructure mediates the nexus between ECSR and firm performance because ECSR may motivate firms to change their partners in the better interests of the firms. In addition, we propose that the firms' industry power will exaggerate while dysfunctional competition will weaken the positive nexus between ECSR and partnership restructure. Evidence based on a survey covering 206 manufacturing firms in China offers good support for our predictions. This last section offers research contributions and implications for the managers based on the findings.

Converging concepts of sustainability and supply chain networks: a systematic literature review approach

In recent years, companies have been under increasing pressure from consumers, grassroots and community organizations, governments, and shareholders to develop and practice sustainable business practices. Academic and corporate interest in sustainable supply chain management has risen considerably in recent years. This can be seen in the number of papers published. This paper aims to systematically investigate the discipline of supply chain management (SCM) within the context of sustainability. The two concepts are increasingly aligned, and sustainable supply chain management (SSCM) represents an evolving field where they explicitly interact. The study proposes a conceptual framework to classify various factors along the triple bottom-line pillars of sustainability issues in the context of supply chains. The findings indicate that the existing literature is primarily focused on individual sustainability and supply chain dimensions rather than taking a more integrated approach. Also, the economic benefits of developing a sustainable supply chain for an organization are discussed in addition to specific features of sustainable supply chains and limitations of existing research; this should stimulate further research. Our analysis revealed trends and gaps, allowing us to create a solid agenda for additional SSCM research.

Analysing the impact of geopolitical risk and economic policy uncertainty on the environmental sustainability: evidence from BRICS countries

This key article seeks to empirically examine the impact of geopolitical risk, economic policy uncertainty (EPU), natural resources, and renewable energy on a country's ecological footprint, a proxy for environmental sustainability on a national scale. We conducted a quantitative study using the cross-sectional autoregressive distributive lag, augmented mean group, and common correlated effect mean group estimation models, as well as a few tests such as the CD test, Westerlund's co-integration, and CIPS and CADF unit root tests, beginning in January 2000 and ending in January 2021, to determine the data's reliability. The findings indicate that while GPR and renewable energy sources lessen the ecological footprint (EF), EPU and the use of non-renewable energy enhance the EF. The study's scope is narrowed to the BRICS nations, but its implications for expanding existing knowledge and shaping policy are enormous. The results can aid decision-makers in preparing for the possibility of unexpected events causing harm to the economy. The reliability of the evidence can be strengthened by employing more stringent research methods. This study's dimensions reflect the current research paradigm. The research has policy implications for achieving sustainable development goals in emerging economies.

Connectedness of COVID vaccination with economic policy uncertainty, oil, bonds, and sectoral equity markets: evidence from the US

We examine the connectedness of the COVID vaccination with the economic policy uncertainty, oil, bonds, and sectoral equity markets in the US within time and frequency domain. The wavelet-based findings show the positive impact of COVID vaccination on the oil and sector indices over various frequency scales and periods. The vaccination is evidenced to lead the oil and sectoral equity markets. More specifically, we document strong connectedness of vaccinations with communication services, financials, health care, industrials, information technology (IT) and real estate equity sectors. However, weak interactions exist within the vaccination-IT-services and vaccination-utilities pairs. Moreover, the effect of vaccination on the Treasury bond index is negative, whereas the economic policy uncertainty shows an interchanging lead and lag relation with vaccination. It is further observed that the interrelation between vaccination and the corporate bond index is insignificant. Overall, the impact of vaccination on the sectoral equity markets and economic policy uncertainty is higher than on oil and corporate bond prices. The study offers several important implications for investors, government regulators, and policymakers.

Impact of COVID-19 on environmental regulation and economic growth in China: A Way forward for green economic recovery

The COVID-19 pandemic has caused turmoil in every aspect of life and may be prevalent for years. Therefore, this study aimed to determine whether the pandemic reflects oil prices in China. We utilized a model to simulate and examine the energy, economic, and environmental effects of COVID-19, which affects a wide range of industries and households. The impact of the pandemic is considered in terms of customer expectations and factor input changes. Based on these changes, we find that factor input changes are the primary cause of the economic recession. We further find a parallel relationship between CO2 emissions and economic downturn. In addition, a reduction in transportation has significantly influenced the Gross Domestic product (GDP), which plunged during the pandemic period by 0.49%. Transportation negatively influences industrial production, railway sector, and air transportation by 10.17%, 1.76%, and 1.53%, respectively. Based on these findings, this study proposes important policy implications.

Impact of the Global Fear Index (COVID-19 Panic) on the S&P Global Indices Associated with Natural Resources, Agribusiness, Energy, Metals, and Mining: Granger Causality and Shannon and Rényi Transfer Entropy

The Global Fear Index (GFI) is a measure of fear/panic based on the number of people infected and deaths due to COVID-19. This paper aims to examine the interconnection or interdependencies between the GFI and a set of global indexes related to the financial and economic activities associated with natural resources, raw materials, agribusiness, energy, metals, and mining, such as: the S&P Global Resource Index, the S&P Global Agribusiness Equity Index, the S&P Global Metals and Mining Index, and the S&P Global 1200 Energy Index. To this end, we first apply several common tests: Wald exponential, Wald mean, Nyblom, and Quandt Likelihood Ratio. Subsequently, we apply Granger causality using a DCC-GARCH model. Data for the global indices are daily from 3 February 2020 to 29 October 2021. The empirical results obtained show that the volatility of the GFI Granger causes the volatility of the other global indices, except for the Global Resource Index. Moreover, by considering heteroskedasticity and idiosyncratic shocks, we show that the GFI can be used to predict the co-movement of the time series of all the global indices. Additionally, we quantify the causal interdependencies between the GFI and each of the S&P global indices using Shannon and Rényi transfer entropy flow, which is comparable to Granger causality, to confirm directionality more robustly The main conclusion of this research is that financial and economic activity related to natural resources, raw materials, agribusiness, energy, metals, and mining were affected by the fear/panic caused by COVID-19 cases and deaths.

Connectedness between Defi assets and equity markets during COVID-19: A sector analysis

This paper explores the dynamic connectedness between Defi assets and sector stock markets focused around the COVID-19 pandemic crisis. For that aim, this research applies the TVP-VAR model, and it also computes the optimal weights and hedge ratios for the Defi assets-sector equity portfolios using the DCC-GARCH model. Our main findings reveal that static connectedness is slightly economy- and sector-dependent. Regarding the dynamic connectedness, as expected, the total spillover index changes over time, showing a cruel impact of the global pandemic declaration. Net spillover indices show relevant differences between the Defi assets and certain sectors (net receivers) and sectors such as industrials, materials and information technology (time-varying net transmitters). Finally, the optimal hedge ratios reveal similar levels of coverage in all the periods analyzed, with slight upturns in the cost of such coverage in the crisis period caused by COVID-19.

Impact of Covid-19 on corporate solvency and possible policy responses in the EU

The massive contagion of new coronavirus (Covid-19) has disrupted many businesses across the European Union. This has resulted in an immense drag on the revenues and cash flows that may lead to a significant increase in corporate bankruptcies. In this paper, we investigate the impact of Covid-19 on the solvency profile of the firms in the EU member states. We introduce multiple stress scenarios on the non-financial listed firms and report a progressive increase in the probability of default, an increase of debt payback, and declining coverages. Our results indicate that the solvency profile of all firms deteriorates. The manufacturing, mining, and retail sector are most vulnerable to a decline in market capitalization and a reduction in sales revenues. The paper also examines the possible policy interventions to sustain solvency at a pre Covid-19 level. Our findings suggest that for a moderate deterioration in economic conditions, a tax deferral is sufficient. However, in the event of exacerbating business shocks, there should be hybrid support through debt and equity to avoid a meltdown. This study has important implications for policymakers, corporate managers, and creditors.

Local and spatial spillover effects of corporate financing costs on regional carbon emissions: evidence from Chinese listed firms

The signing of the Paris Agreement has raised concerns about global carbon emissions, which have detrimental consequences in terms of climate change. At the same time, the financing process for listed companies has begun to incorporate investigations into these firms' carbon emissions. But the current impact of financing costs on firms' carbon emissions has not been accurately assessed. There are large differences in endowments in different regions of China, and factors flow frequently among regions. To date, no empirical evidence has emerged to show the spatial effects of financing costs on carbon emissions. This study uses the STIRPAT model and a panel lag regression model for empirical testing. The results show that increasing financing costs will increase the burden imposed by carbon reduction efforts in various regions. Although this trend has obvious spillovers to surrounding areas, the location of the enterprise bears a more negative burden of externalities. Further analysis shows that reducing the financing costs of enterprises in economically developed regions can reduce both their carbon emissions and the damage to economic growth. These research conclusions can help policymakers shape carbon reduction activities through reducing corporate financing costs on the basis of regional development differences.

Fresh evidence on connectedness between prominent markets during COVID-19 pandemic

Various empirical studies have examined the nexus between financial markets, but this study focused on the comovement among prominent markets. Our study examines the interrelationship among main financial markets, i.e., stock, oil, and commodity during the recent pandemic. The interconnections among the selected markets are investigated using a battery of wavelet coherence tools and the Granger causality test. From the wavelet coherence analysis, our findings indicate strong co-movements among the VIX, oil volatility, and commodity prices during pandemic and localized in all scales and over the sample period. The dependency strength among the considered economies is noted to increase in pandemic, which implies increased short- and long-term benefits for the investors. Moreover, Our result exhibits a feedback causality between OVIX and crude oil, VIX and S&P 500, and gasoline and VIX. Interestingly, a unidirectional causality exists between VIX and crude oil, S&P 500 and crude oil, Brent and crude oil, gasoline, crude oil, and VIX and OVIX. We advocate that the findings will be helpful for portfolio managers, investors, and officials around the world.

Oil and renewable energy returns during pandemic

We explore the global interactions between oil and renewable energy returns during the Covid-19 pandemic between July 2019 and June 2020. Moreover, we reflect on market stress and global economic activity. In order to deal with challenges generated by exogenous shocks coming from financial, economic or pandemic areas, a battery of advanced time-frequency domain methods is applied, ranging from wavelet transformation and wavelet coherency to wavelet cohesion. The main finding shows that pandemic disease is veritable glue for the oil energy-renewable energy nexus, validating their coupling effect. Additionally, the emerging connection between renewable and financial developments is evidenced during the pandemic crisis, although the connection between oil and financial developments is still stronger. Finally, both renewable energy and oil markets have comparably strong relationships with the general global economic activity. The policy implications should follow direct adjustments in the renewable energy area, and subsidiary to cover the behaviour of agents on the capital markets.

Corporate ESG performance as good insurance in times of crisis: lessons from US stock market during COVID-19 pandemic

Purpose

The COVID-19 outbreak and its confinement resulted in an unexpected stock market crash, hence the interest in environmental, social and governance (hereafter, ESG) policies. This paper aims to examine the association between ESG performance and stock market volatility before and after the COVID-19 pandemic.

Design/methodology/approach

This paper examined 500 US companies listed in the S&P 500. The window period volatility refers to March 18, 2020, when the US President signed into law the Families First Coronavirus Response Act. Here, the Thomson Reuters database was used to collect ESG data and daily market information.

Findings

The findings suggest that companies with high ESG performance have lower stock price volatility than companies with poor ESG performance. In other words, strong ESG performance reduces stock price volatility resulting from the COVID-19 shock and promotes resilience and stock price stability.

Practical implications

This research contributes to current debates on emerging pandemics and unexpected risks and highlights the need to invest more in improving corporate sustainability.

Originality/value

The results have substantial implications for managers and investors, as it highlights the relevance of customer and investor loyalty to the durability of ESG stocks.

Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality

This paper explores the asymmetric effect of COVID-19 pandemic news, as measured by the coronavirus indices (Panic, Hype, Fake News, Sentiment, Infodemic, and Media Coverage), on the cryptocurrency market. Using daily data from January 2020 to September 2021 and the exponential generalized autoregressive conditional heteroskedasticity model, the results revealed that both adverse and optimistic news had the same effect on Bitcoin returns, indicating fear of missing out behavior does not prevail. Furthermore, when the nonlinear autoregressive distributed lag model is estimated, both positive and negative shocks in pandemic indices promote Bitcoin's daily changes; thus, Bitcoin is resistant to the SARS-CoV-2 pandemic crisis and may serve as a hedge during market turmoil. The analysis of frequency domain causality supports a unidirectional causality running from the Coronavirus Fake News Index and Sentiment Index to Bitcoin returns, whereas daily fluctuations in the Bitcoin price Granger affect the Coronavirus Panic Index and the Hype Index. These findings may have significant policy implications for investors and governments because they highlight the importance of news during turbulent times. The empirical results indicate that pandemic news could significantly influence Bitcoin's price.

Forecasting for regulatory credit loss derived from the COVID-19 pandemic: A machine learning approach

The economic onslaught of the COVID-19 pandemic has compromised the risk management of financial institutions. The consequences related to such an unprecedented situation are difficult to foresee with certainty using traditional methods. The regulatory credit loss attached to defaulted mortgages, so-called expected loss best estimate (ELBE), is forecasted using a machine learning technique. The projection of two ELBEs for 2022 and their comparison are presented. One accounts for the outbreak's impact, and the other presumes the nonexistence of the pandemic. Then, it is concluded that the referred crisis surely adversely affects said high-risk portfolios. The proposed method has excellent performance and may serve to estimate future expected and unexpected losses amidst any event of extraordinary magnitude.

Impact of COVID-19 and economic policy uncertainty on China's stock market returns: evidence from quantile-on-quantile and causality-in-quantiles approaches

COVID-19 unexpectedly ensnared the entire world and wreaked havoc on global economic and financial systems. The stock market is sensitive to black swan events, and the COVID-19 disaster was no exception. Against this backdrop, this study explores the impact of COVID-19 and economic policy uncertainty (EPU) on Chinese stock markets' returns for the period spanning January 23, 2020 to August 04, 2021. The outcomes of the novel quantile-on-quantile regression analysis revealed that both COVID-19 and EPU had a significant negative impact on both Shanghai and Shenzhen stock market returns, while COVID-19 aggravated the level of economic uncertainty in both financial markets. The quantile causality approach of Troster et al. (2018) validates our main estimations. We conclude that COVID-19 and a high level of EPU enervated the returns of China's leading stock markets. Our study provides key insights to policymakers and market participants to determine the behavior of China's stock market returns vis-à-vis COVID-19 during the peak of the pandemic and beyond. Specifically, our findings apprise portfolio investors to augment their portfolio diversification fronts.

A Markov Switching Approach in Assessing Oil Price and Stock Market Nexus in the Last Decade: The Impact of the COVID-19 Pandemic

We revisit the oil price and stock market nexus by considering the impact of major economic shocks in the post-global financial crisis (GFC) scenario. Our breakpoint unit root test and Markov switching regression (MRS) analyses using West Texas Intermediate (WTI) oil price and Standard & Poor's 500 (S&P 500) market index show that among the major economic events, the recent coronavirus (COVID-19) pandemic is the most significant contributor to market volatilities. Furthermore, our MRS results show that the relationship between oil price and the stock market is regime-dependent; the stock market experiences substantial and positive shocks in a volatile oil price regime. Our results provide valuable insights to investors and policymakers regarding risk management and financial market stability during economic crisis periods, specifically during the COVID-19 pandemic.

What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis

We investigate the impact of macroeconomic surprise and uncertainty on G7 financial markets around COVID-19 pandemic using two real-time, real-activity indexes recently constructed by Scotti (2016). We applies the wavelet analysis to detect the response of the stock markets to the macroeconomic surprise and an uncertainty indexes and then we use NARDL model to examine the asymmetric effect of the news surprise and uncertainty on the equity markets. We conduct our empirical analysis with the daily data from January, 2014 to September, 2020. Our findings indicate that G7 stock markets are sensitive to the macroeconomic surprise and uncertainty and the effect is more pronounced at the long term than the short term. Moreover, we show that the COVID-19 crisis supports the relationship between the macroeconomic indexes and the stock prices. The results are useful for investment decision-making for the investors on the G7 stock indices at different investment horizons.

The effect of mandatory environmental regulation on green development efficiency: evidence from China

The existing literature finds that mandatory environmental regulation (MER) can significantly reduce environmental pollution. However, much less is known about how the implementation of MER affects green development efficiency (GDE). Based on the Air Pollution Control Action Plan which was enforced in 2013 in China's most developed regions as an exogenous shock, we find that first, MER has a significant negative effect on the improvement of GDE by reducing regional scale efficiency. Second, MER mainly reduces the GDE of cities with stronger regulation intensities and with larger economic volumes. Third, MER also has a negative impact on regional green total factor productivity by changing technical progress. We suggest that when implementing MER, governments should enhance regional and global cooperation, promote green technology, and use comprehensive policy tools to stimulate firms' green innovation.

How Does Health Uncertainty Impact Greenhouse Gas Emissions in European Union Economies? A Blessing in Disguise

The global outbreak of COVID-19 caused serious threats to public health and economic growth all around the world, but on the other hand, the betterment of the environment took place. How pandemics' health uncertainty will affect environmental quality is a crucial matter to address. The paper investigates the asymmetric association between pandemics-related health uncertainty and greenhouse gas emissions (GHG) in the top emitter European Union economies (Italy, Germany, France, Poland, Netherlands, Spain, Czech Republic, Belgium, Romania, and Greece). Employing data from 1996 to 2019, a unique approach called 'Quantile-on-Quantile', is adopted to evaluate the influence of various quantiles of the health uncertainty on GHG emissions. According to estimates, health uncertainty enhances environmental quality by minimizing GHG in most of our chosen nations at certain quantiles of data, which makes pandemics a blessing in disguise for environmental quality. Additionally, the estimations indicate that the grades of asymmetry between our variables varies by locality, accentuating the requisite for authorities to give specific consideration while executing health uncertainty and environmental quality policies.

COVID-19 and finance scholarship: A systematic and bibliometric analysis

COVID-19 has posed unprecedented challenges to global finances because of its unparalleled global scope, with both concomitant shocks as well as the likely altering of risk assessments and forecasts for the foreseeable future. As the effects of COVID-19 on financial markets and institutions have been widely addressed by various literature, we systematically synthesize this literature. Through a comprehensive search process, we extract and review 818 articles. Appling bibliometric methods, we explore the trends among various research constituents involved in the field. Using multi-dimensional scaling, we identify the intellectual structure of research in the domain and outline four distinct themes. We also identify the evolution and shifts in research within the short span of three years since the inception of COVID-19. Through detailed content analysis, various future research directions are proposed.

Analyzing the determinants of sustainability of China Pakistan Economic Corridor (CPEC) projects: an interpretive structural modelling (ISM) approach

China Pakistan Economic Corridor (CPEC) is a game changer initiative of South Asian Pacific Rim. It has great importance for almost all Asian countries. Its success is expected to dictate the economic development of the stakeholders. The aim of this study is to evaluate the essential determinants deriving the sustainability of CPEC projects. The design of the study comprises of the review of literature, data collection, and analysis. Population under study is the folk of stakeholders of CPEC. Sampling envisages on purposive sampling design, i.e., 14 experts from within the stakeholders. Primary data is collected in the field setting through a survey questionnaire appropriate for the study. ISM is used for modelling and MICMAC for analysis and classification using inductive approach. The findings of the literature survey show that there are 23 prime determinants of sustainability of CPEC projects. The results of ISM show that 13 determinants are at Level-I, nine at Level-II, and one determinant namely "economic globalization" is at Level-III being the most critical and driving determinant. The findings of MICMAC show that only one determinant is classified in independent quadrant, and all the remaining determinants are in linkage quadrant, whereas, no determinant is shown in autonomous and/or dependence quadrant. But most of the determinants have potential to be classified in dependent and independent quadrants. It is intimately evident that the results of MICMAC corroborate the results of ISM. It is useful for folk of the stakeholders by way of developing an understanding about the multitude of determinants, intra-determinant relations, prioritizing the determinants for policy decisions, and/or for building future studies. This study has some limitations, e.g., the study uses qualitative approach and answers what and how questions that do not quantify the relations or tell the cause of indicated relations.

Covid-19 impact on financial growth and guidelines for green recovery in BRICS: fresh insights from econometric analysis

Sustainable development and socioeconomic growth are balanced through green economic recovery post pandemic. To statistically examine the coordinated development of green economic growth, foreign direct investment, stock market return and financial development, this paper constructs a complete indicator system for green economic recovery and financial development, by using a VAR model for the BRICS over the period of 2000–2020. Our results demonstrate that FDI significantly improves environmental quality by lowering pollution levels and improve the green economic growth in the region (BRICS). Stock market also has a significant positive effect on green economic growth. On the other side, FDI has a significant detrimental effect on financial development. Finally, financial development has a considerable detrimental impact on environmental deterioration. Our analysis recommends that besides the initiatives in financial growth, FDI and stock market be given priority in order to improve sustainable development.

Evaluating economic recovery by measuring the COVID-19 spillover impact on business practices: evidence from Asian markets intermediaries

The COVID-19 outbreak significantly affected the global economy and energy markets. To mitigate the shock, maintain financial market stability, and encourage economic recovery, this study investigates the influence of post-COVID-19 on monetary policy transmission to business practices and financial market indicators for green economic recovery. We utilised 37 Asian markets’ panel data from 1 January 2020, through 30 December 2020. The empirical findings demonstrate that the pandemic’s emergence impeded monetary policy transmission, business practices, and financial markets. Our empirical contribution is to examine the size, sectoral allocation, and implementation options of three leading countries’ (China, Japan, and Thailand) green recovery spending plans, which range significantly. However, this effect mainly affects the medium-and-long-term effects, and short-term spillover effects are primarily unaffected by Asian monetary policy uncertainty. Our findings have significant implications for green economic recovery among market players and regulators in the Asian market.

Natural resources volatility and causal associations for BRICS countries: Evidence from Covid-19 data

Natural resource price volatility has been a major concern in recent time, especially during the COVID 19 period. Although several empirical research have looked into the oil and natural resources prices nexus with economic growth, but, our study makes a significant contribution to the present literature by estimating the long run natural resource price volatility influence on economic growth as well as the causal associations between volatility of the prices of natural resources and economic growth for BRICS economies over 1995-2020 period. To conduct empirical estimation, the study has used new and advanced (CUP-FM) continuously updated fully modified and continuously updated bias-corrected (CUP-BC) estimators for long term influences of the natural resources prices and (Dumitrescu and Hurlin, 2012) heterogeneous test for panel causality for the estimation of the causal relationship between the variables. The results provide clear evidences about the negative influence of volatility in natural resources prices, whereas positive impact of gas and oil rents on economic growth or economic performance of the BRICS economies. Moreover, bidirectional causal association is also revealed from our empirical findings to exist between economic growth and price volatility of natural resources. The findings of our study are robust to various policy implementations. It is recommended to reduce the reliance of natural resources as well as the adoption of short run and long run natural resource hedging policies to mitigate the detrimental impacts of price volatility of natural resources on economic growth and environment.